Import rainfall data into music

MUSIC has number of options to import rainfall data to create a rainfall template:

Importing ASCII files

If you choose Import ASCII file you will be presented with a step-by-step wizard which guides you through the import process:

The four-step Rainfall time-series wizard will guide you through the rainfall data import. The wizard will ask you (Page 1) to select the data file from which you wish to create the template, then (Page 2) allow you to strip header rows, select the appropriate column and format (e.g. tab or space-delimited) (Page 3), and finally select the starting date and time-step (Page 4).

Having imported the rainfall time series, you are then given a choice for providing evapotranspiration data:

 If you choose ‘Monthly average values’, you are presented with a dialogue box which allows you to edit monthly average values for areal potential evapotranspiration, in mm per month.

If you wish to use an ASCII file that contains daily evapotranspiration data, you will be assisted in importing this data, using an import-wizard.

From here, you will be prompted to save the new Meteorological Template file that you have created. This file can now be used to build a new catchment file in music.


Importing Rainfall / Evapotranspiration Files

The music Meteorological Template Builder supports a range of rainfall input file formats. This includes.

  • BOM 6 Minute Rainfall File (.TXT)
  • Hydrolog (.DTF)
  • Tarsier Daily Timeseries (.TTS)
  • CDT comma separated (.CDT)
  • CSV comma separated (.CSV)
  • Met Office CSV (.CSV)

The dialogue box allows you to select the appropriate rainfall file (top-left corner of the dialogue box) and the daily or monthly evapotranspiration file (top right corner of the dialogue box). You need to specify the period for which you want the data, and the Template Time Step (from 6 minutes up to 1 day).  This is the time-step at which the model which uses the created template will run. You will note that music has a Rainfall Data Preview, which allows you to examine the data period.

Feedback and Knowledge Base